[External Plugin]: poka-yoke
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まだ誰も着手していません。
評価
- 難易度
- 3/5
- 見積もり時間
- 1〜2日
- 初心者へのやさしさ
- 58/100
調査の方向性
まず、ピン留めされた ref 18e2bc17d682ece3f13892e7415409a9da57d031 と提出された external.json メタデータを確認し、完全なプラグインの提出物をリポジトリの掲載規約と比較します。#2792 の skill のみの提出物との関係を確認してください。完了とは、提出物が検証され、完全なプラグインとして掲載されるか、重複状態が解決されることを意味します。
索引モデルが issue の本文から書いたものです。
説明
Plugin name
poka-yoke
Short description
Mistake-proof your code, your pipeline, and your agents. Audits code for mistakes that are possible, designs APIs where misuse cannot be expressed, installs guardrails, and turns incidents into devices that prevent recurrence.
GitHub repository
rainmanjam/poka-yoke
Plugin path inside the repository
plugins/poka-yoke
Ref to review
v0.2.0
Commit SHA to review
18e2bc17d682ece3f13892e7415409a9da57d031
Version
0.2.0
License identifier
MIT
Author name
rainmanjam
Author URL
Homepage URL
https://github.com/rainmanjam/poka-yoke
Keywords
poka-yoke, mistake-proofing, error-prevention, guardrails, code-review, defensive-design, type-safety, footgun, reliability, zero-defects
Additional notes for reviewers
poka-yoke is 11 skills, a dependency-free hazard scanner, and installable pre-commit / CI / hook templates. It applies Shigeo Shingo's mistake-proofing method to code: prefer a device that makes a wrong action impossible or self-announcing over an instruction asking someone to avoid it.
Executables, disclosed rather than left to be found. Nothing runs on install and nothing reaches the network:
scripts/detect_hazards.py— static scanner, standard library only, runs when a skill or the user invokes itscripts/cli.py— thin dispatcher for the scannerscripts/device_registry.py— regenerates a docs table; developer and CI onlyassets/devices/claude-hooks/*— templates, not installed automatically. APreToolUseguard the user chooses to copy in. There is no hook registration in the plugin manifest
Evidence and its limits. 591 blind-graded runs across six model families, assertions written before the runs, grader blind to configuration. The behaviour it most reliably changes is stating what a design forecloses: 45% of responses did that unprompted, 80% with the skills applied, across 132 graded verdicts. That average conceals where the effect lives: asked squarely to design an interface models already do it 77% of the time, and the large gains are in tasks where nobody asked for a design review (endpoint 14% to 79%, agent feature 33% to 83%, form 29% to 64%).
Stated with its limits, because they matter: every run is the first turn of a fresh session, so this measures the ceiling rather than what survives a long working session. The baseline is no methodology rather than a different one, so it does not establish that this method in particular caused the gain — control arms exist in the repo but have not been run. And the method costs something measurable: responses became worse at spotting a raw SQL interpolation already on the page (92% to 69%) while becoming better at changing the shape that allowed it. Raw runs, the harness and the assertion checklists are in benchmarks/.
The plugin ships to 19 runtimes via native manifests; six were behaviourally benchmarked (Fable 5, Opus 5, Sonnet 5, Haiku 4.5, Codex gpt-5.6-terra, Gemini 3.1 Pro). The other thirteen are untested and docs/install.md says so in a support-tier table.
Note on keywords: plugin.json carries 24 keywords, several containing spaces for the Claude directory's own search. The list above is the hyphenated subset your validator accepts; I have not edited plugin.json to satisfy this form, since external.json carries its own keywords field.
A skill-only copy is also open as #2792. These are complementary: that entry is for discovery in the skills index, this listing tracks the full plugin at a pinned tag so updates flow from one source rather than a fork drifting. If you would rather have only one, this listing is the one to keep.
Submission checklist
- The plugin lives in a public GitHub repository.
- The ref and/or sha I provided is immutable (release tag and/or full 40-character commit SHA), not a branch.
- This submission follows this repository's contribution, security, and responsible AI policies.
- This plugin is not already listed in the Awesome Copilot marketplace.
- 主要言語
- JavaScript
- スター
- 39.2k
- フォーク
- 5k
- 平均マージ
- 1日 15時間
- マージ済み PR(30日)
- 99
環境構築
はじめの一歩
- issue を最後まで読み、次にプロジェクトのコントリビューションガイドを読みます。
- 着手することを issue にコメントします — 二人が同じ作業をするのを防げます。
- リポジトリをフォークし、ブランチを切って変更します。
- issue 番号を参照したプルリクエストを送ります。
github/awesome-copilot のほかの issue
-
external-plugin needs-review:HIGH ready-for-review
難易度 2/5 1〜3時間 初心者へのやさしさ 68/100
github/awesome-copilot#4022 · コメント 2 件 ·
メンテナーはふだん 1 日以内に返信
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external-plugin ready-for-review
難易度 2/5 1〜3時間 初心者へのやさしさ 75/100
github/awesome-copilot#3967 · コメント 3 件 ·
メンテナーはふだん 1 日以内に返信
-
external-plugin ready-for-review
難易度 2/5 1〜3時間 初心者へのやさしさ 68/100
github/awesome-copilot#3916 · コメント 1 件 ·
メンテナーはふだん 1 日以内に返信
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external-plugin needs-review:MEDIUM ready-for-review
難易度 2/5 1〜3時間 初心者へのやさしさ 72/100
github/awesome-copilot#3888 · コメント 2 件 ·
メンテナーはふだん 1 日以内に返信
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external-plugin needs-review:MEDIUM ready-for-review
難易度 2/5 1〜3時間 初心者へのやさしさ 72/100
github/awesome-copilot#3850 · コメント 2 件 ·
メンテナーはふだん 1 日以内に返信
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